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  1. RegressorTags — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version RegressorTags # class sklearn.utils. RegressorTags ( ...
    scikit-learn.org/stable/modules/generated/sklearn.utils.RegressorTags.html
    Thu Oct 09 16:57:45 UTC 2025
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  2. scale — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version scale # sklearn.preprocessing. scale ( X , * , axis =...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Thu Oct 09 16:57:49 UTC 2025
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  3. DecisionTreeRegressor — scikit-learn 1.7.2 docu...

    Gallery examples: Decision Tree Regression with AdaBoost Single estimator versus bagging: bias-variance decomposition Advanced Plotting With Partial Dependence Using KBinsDiscretizer to discretize ...
    scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html
    Thu Oct 09 16:57:48 UTC 2025
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  4. delayed — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version delayed # sklearn.utils.parallel. delayed ( function ...
    scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.delayed.html
    Thu Oct 09 16:57:48 UTC 2025
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  5. QuantileRegressor — scikit-learn 1.7.2 document...

    Gallery examples: Quantile regression
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html
    Fri Oct 10 15:14:35 UTC 2025
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  6. RidgeCV — scikit-learn 1.7.2 documentation

    Gallery examples: Time-related feature engineering Effect of transforming the targets in regression model Combine predictors using stacking Model-based and sequential feature selection Common pitfa...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html
    Fri Oct 10 15:14:35 UTC 2025
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  7. LassoLarsIC — scikit-learn 1.7.2 documentation

    Gallery examples: Lasso model selection via information criteria Lasso model selection: AIC-BIC / cross-validation
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html
    Fri Oct 10 15:14:35 UTC 2025
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  8. Lars — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version Lars # class sklearn.linear_model. Lars ( * , fit_int...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html
    Fri Oct 10 15:14:35 UTC 2025
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  9. LassoLars — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version LassoLars # class sklearn.linear_model. LassoLars ( a...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html
    Fri Oct 10 15:14:33 UTC 2025
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  10. GaussianProcessClassifier — scikit-learn 1.7.2 ...

    Gallery examples: Plot classification probability Classifier comparison Probabilistic predictions with Gaussian process classification (GPC) Gaussian process classification (GPC) on iris dataset Is...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html
    Fri Oct 10 15:14:36 UTC 2025
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